Continuing growth in immigration in the U.S. and other countries worldwide means an increased number of speakers of languages other than English or other national languages in classrooms, thus raising a need for teachers prepared for linguistically diverse student populations. While recent research in teaching and teacher education has pointed to…

The purpose of this quantitative study was to use Senge's theory of the Learning Organization to examine faculty perceptions of the importance of information literacy education and the integration of information literacy instruction at three Mid-Atlantic community colleges. The researcher examined faculty characteristics (gender, race, and age)…

This dissertation is in response to Garrett's (2014) dissertation on "A Quantitative Study of Higher Education Faculty Self-Assessments of Technological, Pedagogical, and Content Knowledge (TPaCK) and Technology Training" which has been the inspiration and guide throughout the design of this study. The purpose is to assess the…

The purpose of this non-experimental quantitative case study was to compare the academic success of community college students over three academic years (2016-17 through 2018-19) before the onset of COVID-19 based on final grades and the influence of student factors, class size, and faculty characteristics using archival data from selected online…

How do teachers affect students' academic and labor market outcomes? Research into teacher quality has been thoroughly scrutinized for the K-12 sector, while there is a requirement for examining these questions at post-secondary education level. In the past few decades, several important trends of faculty employment among higher education…

This study investigates the relationships between demographic characteristics, perceptions of the academic climate, and the employment continuation plans of tenured and tenure-track faculty of color in CORE accredited rehabilitation counselor education (RCE) programs. Furthermore, this study aims to identify which factors best predict the…